Data Software Engineer
Location: Houston, Texas (Hybrid)
Company Overview:
Our client, is a leader in energy space, and they're backed by a world renowned investment firm
Position Summary:
Key Responsibilities:
- Data Pipelines: Design and implement data pipelines for ML and AI models using Azure and Databricks.
- DataOps/MLOps: Manage routine operations.
- Domain Expertise: Apply mathematical and statistical knowledge to assess data quality and model insights.
- Trading Tools: Maintain real-time trading tools for decision-making.
- Technical Translation: Simplify complex concepts for non-technical stakeholders.
- Innovation: Research trends in data engineering, AI, and energy storage.
- Collaboration: Work with engineering, finance, and operations teams.
Requirements:
- Master's in Mathematics, Statistics, Computer Science, or related field.
- 5+ years in data engineering, ML, and Excel-based workflows with Visual Basic.
- Proficiency in Python, PySpark, and Visual Basic.
- Experience with cloud platforms (Azure, Databricks) and big data technologies (Hadoop, Spark).
- Knowledge of optimization techniques in energy storage.
